Agent StoreInformation TechnologyIncident Management
Live

ChatOps Incident Triage Agent

Information TechnologyIncident Management

Monitors chat channels and alert streams to automatically classify, prioritize, and route incoming incidents to the correct on-call responder.

4
Process steps
6
Integrations
3
Data inputs

Incidents reported through chat channels often arrive as unstructured messages that responders must manually interpret, classify by severity, and route to the correct team, wasting critical minutes during outages when every second of response time matters

On-call engineers frequently get paged for issues outside their service ownership because initial triage relied on guesswork rather than accurate service mapping, causing wasted escalations and delayed resolution

During major incidents, chat channels become flooded with duplicate reports, tangential discussion, and status update requests that bury the actionable signal responders actually need

Without a structured record of what was said and decided during an incident, postmortem writers spend hours reconstructing timelines from scattered chat scrollback

The agent monitors designated chat channels and alerting integrations for incoming incident signals, classifies each by likely severity and affected service using historical incident patterns and service ownership mapping, and automatically pages the correct on-call responder. During active incidents it deduplicates repeated reports, surfaces the most relevant recent updates to new responders joining the channel, and answers routine status questions so human responders can stay focused on resolution. The agent maintains a structured, timestamped incident timeline throughout, which becomes the first draft input for the postmortem.

1

Signal Detection and Classification

  • Monitor chat channels and alerting tools for incident signals
  • Classify severity using historical incident pattern matching
  • Identify the likely affected service and ownership team
  • Deduplicate reports describing the same underlying issue
Outcome: Incoming incident signals are classified and consolidated within seconds of arrival.
2

Automated Routing and Paging

  • Page the correct on-call responder based on service ownership
  • Escalate automatically if acknowledgment does not occur in time
  • Create a dedicated incident channel with context pre-populated
  • Notify stakeholders per the defined severity communication plan
Outcome: The right responder is engaged immediately with full context, no manual routing delay.
3

Active Incident Support

  • Summarize key updates for responders joining mid-incident
  • Answer routine status questions from stakeholders in-channel
  • Track action items and owners raised during discussion
  • Flag when the incident meets criteria for further escalation
Outcome: Responders stay focused on resolution while routine coordination is handled automatically.
4

Timeline Capture and Postmortem Handoff

  • Maintain a structured, timestamped incident timeline
  • Capture key decisions and mitigation actions as they occur
  • Compile a first-draft postmortem input at incident close
  • Archive the full incident record for future pattern matching
Outcome: A ready-made, accurate timeline that dramatically shortens postmortem authoring time.
Slack
PagerDuty
Datadog
Opsgenie
GitHub
Confluence